Liu, Jun

174 publications

CVPR 2025 An Image-like Diffusion Method for Human-Object Interaction Detection Xiaofei Hui, Haoxuan Qu, Hossein Rahmani, Jun Liu

ICCV 2025 Blind Noisy Image Deblurring Using Residual Guidance Strategy Heyan Liu, Jianing Sun, Jun Liu, Xi-Le Zhao, Tingting Wu, Tieyong Zeng

NeurIPS 2025 Boosting Skeleton-Based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation Jingmin Zhu, Anqi Zhu, Hossein Rahmani, Jun Liu, Mohammed Bennamoun, Qiuhong Ke

ICCV 2025 Boundary Probing for Input Privacy Protection When Using LMM Services Xiaofei Hui, Haoxuan Qu, Ping Hu, Hossein Rahmani, Jun Liu

CVPR 2025 CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework Yanlong Xu, Haoxuan Qu, Jun Liu, Wenxiao Zhang, Xun Yang

ICML 2025 CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu

NeurIPS 2025 Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration Wenjun Wu, Lingling Zhang, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu

NeurIPS 2025 ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu

NeurIPS 2025 CoFFT: Chain of Foresight-Focus Thought for Visual Language Models Xinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou

CVPR 2025 Convex Combination Star Shape Prior for Data-Driven Image Semantic Segmentation Xinyu Zhao, Jun Xie, Shengzhe Chen, Jun Liu

IJCAI 2025 Cross-Modal Collaborative Representation Learning for Text-to-Image Person Retrieval Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang

L4DC 2025 Data-Driven Optimal Control of Unknown Nonlinear Dynamical Systems Using the Koopman Operator Zhexuan Zeng, Ruikun Zhou, Yiming Meng, Jun Liu

AAAI 2025 Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui

AAAI 2025 Deconfound Semantic Shift and Incompleteness in Incremental Few-Shot Semantic Segmentation Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan

NeurIPS 2025 Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs Jie Ma, Ning Qu, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, Su Zhou

ICCV 2025 DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models Zhuoling Li, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Qiuhong Ke, Jun Liu, Hossein Rahmani

IJCAI 2025 Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang

CVPR 2025 Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang

AAAI 2025 EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu

CVPR 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai

IJCAI 2025 FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang

ICLR 2025 GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao

AAAI 2025 Global-Semantic Alignment Distillation for Partial Multi-View Classification Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu

NeurIPS 2025 Harmony in Divergence: Towards Fast, Accurate, and Memory-Efficient Zeroth-Order LLM Fine-Tuning Qitao Tan, Jun Liu, Zheng Zhan, Caiwen Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan

AAAI 2025 Hierarchical Alignment-Enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu

ICCV 2025 Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models Ziqian Lu, Yunlong Yu, Qinyue Tong, Jun Liu

NeurIPS 2025 Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems Yi Zhang, Yushen Long, Yun Ni, Liping Huang, Xiaohong Wang, Jun Liu

CVPRW 2025 IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu

CVPR 2025 LongDiff: Training-Free Long Video Generation in One Go Zhuoling Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

IJCAI 2025 Metapath and Hypergraph Structure-Based Multi-Channel Graph Contrastive Learning for Student Performance Prediction Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang

ICLR 2025 Mutual Effort for Efficiency: A Similarity-Based Token Pruning for Vision Transformers in Self-Supervised Learning Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

CVPR 2025 POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu

ICCV 2025 Performing Defocus Deblurring by Modeling Its Formation Process Zhengbo Zhang, Lin Geng Foo, Hossein Rahmani, Jun Liu, De Wen Soh

AAAI 2025 RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks Ziyi Hu, Jun Liu, Zhongzhi Liu, Yuzhong Liu, Zheng Xie, Yiping Song

ICCV 2025 Recognizing Actions from Robotic View for Natural Human-Robot Interaction Ziyi Wang, Peiming Li, Hong Liu, Zhichao Deng, Can Wang, Jun Liu, Junsong Yuan, Mengyuan Liu

ICML 2025 Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei Yuan, Jun Liu

AAAI 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-Grained Weight Importance Assessment Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang

CVPR 2025 Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Hengtao Shen, Xiaofeng Zhu

AAAI 2025 VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention Jiangning Wei, Lixiong Qin, Bo Yu, Tianjian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu

AAAI 2025 VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning Muye Huang, Lingling Zhang, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu

IJCAI 2025 fairGNN-WOD: Fair Graph Learning Without Complete Demographics Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang

CVPR 2024 6d-Diff: A Keypoint Diffusion Framework for 6d Object Pose Estimation Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu

CVPR 2024 Action Detection via an Image Diffusion Process Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu

CVPR 2024 Addressing Background Context Bias in Few-Shot Segmentation Through Iterative Modulation Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

JMLR 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods Jun Liu, Ye Yuan

NeurIPS 2024 COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li

ECCV 2024 Class-Agnostic Object Counting with Text-to-Image Diffusion Model Xiaofei Hui, Qian Wu, Hossein Rahmani, Jun Liu

CVPR 2024 CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu

AAAI 2024 Correlation Matching Transformation Transformers for UHD Image Restoration Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu

AAAI 2024 DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian

ECCV 2024 Diff-Tracker: Text-to-Image Diffusion Models Are Unsupervised Trackers Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu

NeurIPS 2024 DisC-GS: Discontinuity-Aware Gaussian Splatting Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu

CVPR 2024 E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-up Generator Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, Shaowei Wang, Qianying Wang

ECCV 2024 Echoes of the past: Boosting Long-Tail Recognition via Reflective Learning Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu

ECCV 2024 Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu

NeurIPS 2024 Generated and Pseudo Content Guided Prototype Refinement for Few-Shot Point Cloud Segmentation Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu

ECCV 2024 Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu

ECCV 2024 InstructGIE: Towards Generalizable Image Editing Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang

AAAI 2024 LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

CVPR 2024 LEAD: Exploring Logit Space Evolution for Model Selection Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan

CVPR 2024 LLMs Are Good Action Recognizers Haoxuan Qu, Yujun Cai, Jun Liu

CVPR 2024 LLMs Are Good Sign Language Translators Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu

CVPR 2024 LLaFS: When Large Language Models Meet Few-Shot Segmentation Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu

CVPR 2024 LTGC: Long-Tail Recognition via Leveraging LLMs-Driven Generated Content Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu

AAAI 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie

ECCV 2024 Learning to Unlearn for Robust Machine Unlearning Mark He Huang, Lin Geng Foo, Jun Liu

NeurIPS 2024 Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du

AAAI 2024 MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving Guangfeng Jiang, Jun Liu, Yuzhi Wu, Wenlong Liao, Tao He, Pai Peng

AAAI 2024 MatchDet: A Collaborative Framework for Image Matching and Object Detection Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

AAAI 2024 Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

ICML 2024 Network Tight Community Detection Jiayi Deng, Xiaodong Yang, Jun Yu, Jun Liu, Zhaiming Shen, Danyang Huang, Huimin Cheng

WACV 2024 Physical-Space Multi-Body Mesh Detection Achieved by Local Alignment and Global Dense Learning Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang

ICML 2024 Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification Yiming Meng, Ruikun Zhou, Amartya Mukherjee, Maxwell Fitzsimmons, Christopher Song, Jun Liu

CVPR 2024 Referring Expression Counting Siyang Dai, Jun Liu, Ngai-Man Cheung

ECCV 2024 SemTrack: A Large-Scale Dataset for Semantic Tracking in the Wild Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu

ECCV 2024 Towards Physical World Backdoor Attacks Against Skeleton Action Recognition Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok-Yan Lam, Alex Kot

ICML 2024 UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers Duo Peng, Qiuhong Ke, Jun Liu

CVPR 2023 A Characteristic Function-Based Method for Bottom-up Human Pose Estimation Haoxuan Qu, Yujun Cai, Lin Geng Foo, Ajay Kumar, Jun Liu

ICMLW 2023 Actor-Critic Methods Using Physics-Informed Neural Networks: Control of a 1d PDE Model for Fluid-Cooled Battery Packs Amartya Mukherjee, Jun Liu

CVPR 2023 Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining Kexin Sun, Zhineng Chen, Gongwei Wang, Jun Liu, Xiongjun Ye, Yu-Gang Jiang

ICMLW 2023 Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) Amartya Mukherjee, Jun Liu

ICCV 2023 Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events Kian Eng Ong, Xun Long Ng, Yanchao Li, Wenjie Ai, Kuangyi Zhao, Si Yong Yeo, Jun Liu

IJCAI 2023 Clustered-Patch Element Connection for Few-Shot Learning Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang

CVPR 2023 Continual Semantic Segmentation with Automatic Memory Sample Selection Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

IJCAI 2023 Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang

CVPR 2023 DiffPose: Toward More Reliable 3D Pose Estimation Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

ICCV 2023 Diffusion-Based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu

ICCV 2023 Distribution-Aligned Diffusion for Human Mesh Recovery Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu

AAAI 2023 GPTR: Gestalt-Perception Transformer for Diagram Object Detection Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu

ICCV 2023 Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng

ICCV 2023 Instance and Category Supervision Are Alternate Learners for Continual Learning Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie

NeurIPS 2023 Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu

NeurIPS 2023 LMC: Large Model Collaboration with Cross-Assessment for Training-Free Open-Set Object Recognition Haoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu

ICCV 2023 Learning Gabor Texture Features for Fine-Grained Recognition Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

ICCV 2023 MDCS: More Diverse Experts with Consistency Self-Distillation for Long-Tailed Recognition Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu

CVPR 2023 Meta Compositional Referring Expression Segmentation Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu

ICLR 2023 MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu

CVPR 2023 Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling Zhen Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma

ICCV 2023 STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan

AAAI 2023 SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

CVPR 2023 System-Status-Aware Adaptive Network for Online Streaming Video Understanding Lin Geng Foo, Jia Gong, Zhipeng Fan, Jun Liu

CVPR 2023 Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu

CVPR 2023 Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng

CVPR 2023 Unified Pose Sequence Modeling Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

L4DC 2022 A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees Milad Farsi, Yinan Li, Ye Yuan, Jun Liu

CVPR 2022 Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, Jun Liu

ECML-PKDD 2022 BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-Task Learning Yuecheng Rong, Jun Liu, Zhilin Xu, Jian Ding, Chuangming Zhang, Jiaxiang Gao

NeurIPS 2022 Decoupling Classifier for Boosting Few-Shot Object Detection and Instance Segmentation Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang

ECCV 2022 Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu

ECCV 2022 ERA: Expert Retrieval and Assembly for Early Action Prediction Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

CVPR 2022 En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu

ECCV 2022 GradAuto: Energy-Oriented Attack on Dynamic Neural Networks Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu

NeurIPS 2022 Heatmap Distribution Matching for Human Pose Estimation Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu

ECCV 2022 IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu

ECCV 2022 Improving the Reliability for Confidence Estimation Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu

CVPR 2022 Meta Agent Teaming Active Learning for Pose Estimation Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

ECCV 2022 Meta Spatio-Temporal Debiasing for Video Scene Graph Generation Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu

CVPRW 2022 NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

NeurIPS 2022 Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees Ruikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu

COLT 2022 On Almost Sure Convergence Rates of Stochastic Gradient Methods Jun Liu, Ye Yuan

AAAI 2022 REMOTE: Reinforced Motion Transformation Network for Semi-Supervised 2D Pose Estimation in Videos Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu

NeurIPS 2022 ResQ: A Residual Q Function-Based Approach for Multi-Agent Reinforcement Learning Value Factorization Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang

CVPR 2022 Robust Image Forgery Detection over Online Social Network Shared Images Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu

CVPR 2022 Surface Representation for Point Clouds Haoxi Ran, Jun Liu, Chengjie Wang

ICLR 2022 Uncertainty Modeling for Out-of-Distribution Generalization Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Lingyu Duan

ECCV 2022 tSF: Transformer-Based Semantic Filter for Few-Shot Learning Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang

ICCV 2021 A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat Thalmann

ICCV 2021 Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu

CVPR 2021 Generalizable Person Re-Identification with Relevance-Aware Mixture of Experts Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan

ICCV 2021 IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan

ICCV 2021 Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang

CVPR 2021 Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu

ICCV 2021 Learning Inner-Group Relations on Point Clouds Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu

ICCV 2021 Motion Adaptive Pose Estimation from Compressed Videos Zhipeng Fan, Jun Liu, Yao Wang

CVPR 2021 Person30K: A Dual-Meta Generalization Network for Person Re-Identification Yan Bai, Jile Jiao, Wang Ce, Jun Liu, Yihang Lou, Xuetao Feng, Ling-Yu Duan

CVPR 2021 Rank-One Prior: Toward Real-Time Scene Recovery Jun Liu, Wen Liu, Jianing Sun, Tieyong Zeng

CVPR 2021 SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events Li Xu, He Huang, Jun Liu

ICCV 2021 Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot

ICCVW 2021 The Multi-Modal Video Reasoning and Analyzing Competition Haoran Peng, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu, Rongchang Li, Mang Ye, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu, Tao Lin

CVPR 2021 UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li

ECCV 2020 Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation Zhipeng Fan, Jun Liu, Yao Wang

ECCV 2020 Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot

AAAI 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems Taoxing Pan, Jun Liu, Jie Wang

WACV 2020 DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff

IJCAI 2020 Disentangled Feature Learning Network for Vehicle Re-Identification Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan

ECCV 2020 HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan

ECCV 2020 Learning Progressive Joint Propagation for Human Motion Prediction Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann

ECCV 2020 OID: Outlier Identifying and Discarding in Blind Image Deblurring Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang

IJCAI 2020 pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan

AAAI 2019 Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen

ICML 2019 Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization Kai Zhang, Sheng Zhang, Jun Liu, Jun Wang, Jie Zhang

CVPRW 2018 Detecting Presentation Attacks from 3D Face Masks Under Multispectral Imaging Jun Liu, Ajay Kumar

CVPR 2017 Deep Level Sets for Salient Object Detection Ping Hu, Bing Shuai, Jun Liu, Gang Wang

CVPR 2017 Global Context-Aware Attention LSTM Networks for 3D Action Recognition Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot

CVPR 2016 NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang

ECCV 2016 Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang

NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye

ECML-PKDD 2014 Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVM Zheng Zhao, Jun Liu, James Cox

ECCVW 2014 Grading Tai Chi Performance in Competition with RGBD Sensors Hui Zhang, Haipeng Guo, Chaoyun Liang, Ximin Yan, Jun Liu, Jie Weng

ICML 2014 Safe Screening with Variational Inequalities and Its Application to Lasso Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye

ICML 2012 Improved Nystrom Low-Rank Decomposition with Priors Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber

NeurIPS 2011 Efficient Methods for Overlapping Group Lasso Lei Yuan, Jun Liu, Jieping Ye

NeurIPS 2011 Projection onto a Nonnegative Max-Heap Jun Liu, Liang Sun, Jieping Ye

ECCV 2010 Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model Xiaoyang Tan, Yi Li, Jun Liu, Lin Jiang

NeurIPS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning Jun Liu, Jieping Ye

AISTATS 2010 The Group Dantzig Selector Han Liu, Jian Zhang, Xiaoye Jiang, Jun Liu

ICML 2009 A Convex Formulation for Learning Shared Structures from Multiple Tasks Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye

ICML 2009 Efficient Euclidean Projections in Linear Time Jun Liu, Jieping Ye

NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye

NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye

IJCAI 2009 Learning the Optimal Neighborhood Kernel for Classification Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye

UAI 2009 Multi-Task Feature Learning via Efficient L2, 1-Norm Minimization Jun Liu, Shuiwang Ji, Jieping Ye

ICCVW 2009 Robust Faces Manifold Modeling: Most Expressive vs. Most Sparse Criterion Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu

ECCV 2006 Spatial Segmentation of Temporal Texture Using Mixture Linear Models Lee Cooper, Jun Liu, Kun Huang